An Enhanced Algorithm for Image Processing Based Catheter Selection During Right Coronary Angiography
DOI:
https://doi.org/10.52206/jsmc.2021.11.1.18-23Abstract
Background: Image processing based catheter selection is a newly developed procedure in which a catheter is selected based on
patient's image data, acquired prior to the intervention. In this technique, the arteries are extracted from the data followed by the
computation of geometric parameters for all available catheters.
Objectives: To propose an improved algorithm for estimating geometric parameters such as coronary artery curve angle and
length of the coronary artery curve.
Material& Methods: We propose a new framework to compute the geometric parameters from the patient magnetic resonance /
computed tomography images. In order to meet the clinical time constraint, we calculate CACA and CACL in 3D MR cardiac
images of the patients.
Results: The method has been tested on seven MR cardiac images provided by Unieklinikum Wrzburg. The results show more
accuracy and less computation time as compared to the already developed method.
Conclusion: The proposed algorithm uses an enhanced method for extracting 3D curve to calculate the angle and there by greatly
reduces the computation time and improves the accuracy.
Keywords: Optimal catheter; Right coronary angiography; Catheter selection; Landmarks; Geometricparameter
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